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  • Ribba, B (author)

A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis

  • Article/chapterEnglish2014

Publisher, publication year, extent ...

  • 2014-05-07
  • Wiley,2014
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:uu-244851
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-244851URI
  • https://doi.org/10.1038/psp.2014.12DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometric research. A series of new mixed-effects models have been reported recently, and we present herein a synthetic view of models with published mathematical equations aimed at describing the dynamics of tumor size in cancer patients following anticancer drug treatment. This selection of models will constitute the basis for the Drug Disease Model Resources (DDMoRe) repository for models on oncology.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Holford, Nick H (author)
  • Magni, P (author)
  • Trocóniz, I (author)
  • Gueorguieva, I (author)
  • Girard, P (author)
  • Sarr, C (author)
  • Elishmereni, M (author)
  • Kloft, C (author)
  • Friberg, Lena EUppsala universitet,Institutionen för farmaceutisk biovetenskap(Swepub:uu)lenasimo (author)
  • Uppsala universitetInstitutionen för farmaceutisk biovetenskap (creator_code:org_t)

Related titles

  • In:CPT: Wiley3:5, s. 1-102163-8306

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